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Voot Tangkaratt — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Voot Tangkaratt
7
papers ·
107
citations ·
12
h-index
RIKEN Center for Advanced Intelligence Project
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Active Deep Q-learning with Demonstration
2018 · 43 citations
TD-Regularized Actor-Critic Methods
2018 · 39 citations
Hierarchical Reinforcement Learning via Advantage-Weighted Information Maximization
2019 · 20 citations
Meta-Model-Based Meta-Policy Optimization
2020 · 4 citations
Guide Actor-Critic for Continuous Control
2017 · 1 citations
Discovering Diverse Solutions in Deep Reinforcement Learning by Maximizing State-Action-Based Mutual Information
2021
Top co-authors
Masashi Sugiyama
· 4
Takayuki Osa
· 3
Abbas Abdolmaleki
· 1
and Mohammad Emtiyaz Khan
· 1
Hsuan-Tien Lin
· 1
Jan Peters
· 1
Si-An Chen
· 1
Simone Parisi
· 1
Takahisa Imagawa
· 1
Takashi Onishi
· 1
Takuya Hiraoka
· 1
Yoshimasa Tsuruoka
· 1
Topics
Policy Gradient
Value-Based
Exploration
Meta-RL
Model-Based RL